Identifying the Most Sensitive and Specific Sign and Symptom Combinations for Cholera: Results from an Analysis of Laboratory-Based Surveillance Data from Haiti, 2012–2013
| Autor: | Paul Adrien, Nicole Freeman, Mentor Ali Ber Lucien, Eric D. Mintz, Gerard A. Joseph, Mark A. Katz, Nicolas Schaad, R. Emmanuel, Maria W. Steenland, Jacques Boncy |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Adult
Diarrhea Male Pediatrics medicine.medical_specialty Surveillance data Adolescent Hospitalized patients Signs and symptoms medicine.disease_cause Sensitivity and Specificity World health Feces Young Adult Cholera Virology medicine Humans Child Epidemics business.industry Clinical Laboratory Techniques Diagnostic Tests Routine Vibrio cholerae O1 Articles medicine.disease Haiti Infectious Diseases Vibrio cholerae Child Preschool Parasitology Female medicine.symptom Watery diarrhea Symptom Assessment business Sentinel Surveillance |
| Zdroj: | The American Journal of Tropical Medicine and Hygiene |
| ISSN: | 1476-1645 0002-9637 |
| Popis: | Since October 2010, over 700,000 cholera cases have been reported in Haiti. We used data from laboratory-based surveillance for diarrhea in Haiti to evaluate the sensitivity, specificity, and positive (PPV) and negative predictive values (NPV) of the cholera case definitions recommended by the World Health Organization (WHO). From April 2012 to May 2013, we tested 1,878 samples from hospitalized patients with acute watery diarrhea; 1,178 (62.7%) yielded Vibrio cholerae O1. The sensitivity and specificity of the WHO case definition for cholera in an epidemic setting were 91.3% and 43.1%, respectively, and the PPV and NPV were 72.8% and 74.8%, respectively. The WHO case definition for cholera in an area where cholera is not known to be present had lower sensitivity (63.1%) and NPV (55.1%) but higher specificity (74.2%) and PPV (80.0%). When laboratory diagnostic testing is not immediately available, clinicians can evaluate signs and symptoms to more accurately identify cholera patients. |
| Databáze: | OpenAIRE |
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